Követés
Ranjay Krishna
Ranjay Krishna
Assistant Professor, University of Washington
E-mail megerősítve itt: cs.washington.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Visual Genome: Connecting Language and Vision using Crowdsourced Dense Image Annotations
R Krishna, Y Zhu, O Groth, J Johnson, K Hata, J Kravitz, S Chen, ...
IJCV: International Journal of Computer Vision, 45, 2016
63642016
On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2021
49272021
Dense-Captioning Events in Videos
R Krishna, K Hata, F Ren, L Fei-Fei, JC Niebles
International Conference on Computer Vision, 2017
15332017
Visual Relationship Detection with Language Priors
C Lu, R Krishna, M Bernstein, L Fei-Fei
ECCV: European Conference on Computer Vision, 19, 2016
13672016
Image retrieval using scene graphs
J Johnson, R Krishna, M Stark, LJ Li, D Shamma, M Bernstein, L Fei-Fei
Proceedings of the IEEE conference on computer vision and pattern …, 2015
13472015
A hierarchical approach for generating descriptive image paragraphs
J Krause, J Johnson, R Krishna, L Fei-Fei
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017
4762017
Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes
CY Hsieh, CL Li, CK Yeh, H Nakhost, Y Fujii, A Ratner, R Krishna, CY Lee, ...
arXiv preprint arXiv:2305.02301, 2023
4612023
Action Genome: Actions as Composition of Spatio-temporal Scene Graphs
J Ji, R Krishna, L Fei-Fei, JC Niebles
IEEE Conference on Computer Vision and Pattern Recognition, 2019
4032019
Datacomp: In search of the next generation of multimodal datasets
SY Gadre, G Ilharco, A Fang, J Hayase, G Smyrnis, T Nguyen, R Marten, ...
Advances in Neural Information Processing Systems 36, 27092-27112, 2023
3882023
Generating semantically precise scene graphs from textual descriptions for improved image retrieval
S Schuster, R Krishna, A Chang, L Fei-Fei, CD Manning
Proceedings of the fourth workshop on vision and language, 70-80, 2015
3832015
Explanations can reduce overreliance on ai systems during decision-making
H Vasconcelos, M Jörke, M Grunde-McLaughlin, T Gerstenberg, ...
Proceedings of the ACM on Human-Computer Interaction 7 (CSCW1), 1-38, 2023
2192023
Large language model as attributed training data generator: A tale of diversity and bias
Y Yu, Y Zhuang, J Zhang, Y Meng, AJ Ratner, R Krishna, J Shen, C Zhang
Advances in Neural Information Processing Systems 36, 55734-55784, 2023
2032023
Tifa: Accurate and interpretable text-to-image faithfulness evaluation with question answering
Y Hu, B Liu, J Kasai, Y Wang, M Ostendorf, R Krishna, NA Smith
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
1792023
Hype: A benchmark for human eye perceptual evaluation of generative models
S Zhou, M Gordon, R Krishna, A Narcomey, LF Fei-Fei, M Bernstein
Advances in neural information processing systems 32, 2019
1742019
Conceptual metaphors impact perceptions of human-ai collaboration
P Khadpe, R Krishna, L Fei-Fei, JT Hancock, MS Bernstein
Proceedings of the ACM on Human-Computer Interaction 4 (CSCW2), 1-26, 2020
1702020
Crepe: Can vision-language foundation models reason compositionally?
Z Ma, J Hong, MO Gul, M Gandhi, I Gao, R Krishna
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
1422023
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ...
2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024
1362024
Agqa: A benchmark for compositional spatio-temporal reasoning
M Grunde-McLaughlin, R Krishna, M Agrawala
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1262021
Referring relationships
R Krishna, I Chami, M Bernstein, L Fei-Fei
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1242018
Sugarcrepe: Fixing hackable benchmarks for vision-language compositionality
CY Hsieh, J Zhang, Z Ma, A Kembhavi, R Krishna
Advances in neural information processing systems 36, 31096-31116, 2023
1162023
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
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